AI Strategy Consulting for B2B: What It Costs, What It Delivers, and What Matters
What AI strategy consulting covers in a B2B context, what results are realistic, and how to find the right consultant.
Why AI strategy instead of tool-hopping
Most B2B companies start their AI journey with tools: “Let’s try ChatGPT” or “We need an AI tool for marketing.” The result: 5 different tools, no system, no measurable results.
AI strategy consulting flips the order: first the goal, then the process, then the tool.
What AI strategy consulting covers
Phase 1: Analysis (weeks 1-2)
What happens:
- Mapping existing processes (sales, marketing, operations)
- Documenting the tool landscape (CRM, automation, content)
- Identifying pain points (where is the most time wasted?)
- Assessing data quality (is the foundation for AI in place?)
Deliverable: A process map with marked AI potential and quick wins.
Phase 2: Potential & ROI (weeks 2-3)
What happens:
- For every AI potential: expected time investment, cost, ROI
- Prioritization by impact vs. effort (2x2 matrix)
- Checking technical feasibility (is the data available? is integration possible?)
Typical quick wins in B2B:
| Use case | Time savings | Implementation |
|---|---|---|
| Email personalization with AI | 5-10h/week | 1-2 days |
| Meeting summaries | 3-5h/week | 1 day |
| Automating lead enrichment | 8-15h/week | 1 week |
| Proposal creation with AI | 10-20h/month | 1-2 weeks |
| Content creation for blog/social | 5-10h/week | 2-3 days |
Phase 3: Roadmap (weeks 3-4)
What happens:
- A 90-day plan with concrete milestones
- Tool selection for priority-1 use cases
- Budget planning (tools, implementation, training)
- Change management plan (who needs to learn what?)
Phase 4: Pilot project (weeks 4-8)
What happens:
- Fully implementing one use case
- Training and supporting the team
- Measuring results (before/after)
- Documenting learnings and adjusting the roadmap
What it costs
| Format | Scope | Price (DACH) | For whom |
|---|---|---|---|
| Workshop | 1-2 days, analysis + quick wins | €2,000-5,000 | Teams that need orientation |
| Strategy project | 4-8 weeks, analysis through roadmap | €10,000-30,000 | SMEs with a concrete AI initiative |
| Implementation | 3-6 months, strategy + execution | €30,000-80,000 | Companies introducing AI systematically |
| Ongoing support | Monthly, optimization + new use cases | €2,000-8,000/month | After the initial project, for continuous improvement |
The right questions to ask potential consultants
Questions you should ask:
- “Show me a concrete case with ROI numbers” — if there’s no measurable case: walk away
- “What’s the smallest first step?” — good consultants start small. Bad ones sell you a year-long project right away
- “Which tools do you recommend and why?” — tool-agnostic consultants are better than those selling a specific tool
- “How do we measure success?” — KPIs need to be defined before the project starts
- “What happens after the project?” — transfer to the team must be part of the offer
Red flags:
- “AI can revolutionize everything” — without concrete use cases
- Only PowerPoint, no implementation
- Tool sales disguised as consulting
- No industry experience in B2B
- No focus on change management
DIY alternative: the 4-week self-test
Not every company needs external consulting. This self-test shows whether you can start on your own:
Week 1: Everyone on the team uses ChatGPT/Claude for their 3 most time-intensive tasks Week 2: Collect results — where did AI make the biggest difference? Week 3: Implement the top 3 use cases with concrete tools (Clay, Instantly, HubSpot AI) Week 4: Measure results. If ROI is clearly visible → keep going. If not → bring in a consultant.
When you definitely need a consultant
- Budget >€20,000 planned for AI tools → the wrong tool choice is expensive
- Team >15 people → change management is critical
- Regulated industry → GDPR, compliance, and data protection require expertise
- No internal AI know-how → a consultant accelerates you by 3-6 months
- Failed attempts → if 2+ AI initiatives haven’t worked
Common questions
What does AI strategy consulting cost?
For SMEs in the DACH region: a workshop (1-2 days) from €2,000-5,000, a strategy project (4-8 weeks) €10,000-30,000, ongoing support €2,000-8,000/month. Enterprise consulting (McKinsey, BCG) starts at €50,000+. ROI should be visible within 6 months.
What exactly does AI strategy consulting do?
Typical process: (1) as-is analysis of existing processes and the tool landscape, (2) identifying AI potential with ROI assessment, (3) prioritizing and building a roadmap, (4) defining and supporting a pilot project, (5) implementation support and change management.
Do I need AI strategy consulting?
Yes, if: you know AI is relevant but don't know where to start, your team has experimented with tools but there's no system behind it, or you're planning a budget >€20,000 for AI tools. No, if: you just want to introduce a single tool (then the tool vendor is enough) or your company has <10 employees.
How do I recognize good AI consulting?
Good consultants: show concrete case studies with measurable ROI, start with a small pilot project, know both the tools and the processes, and talk about change management. Bad consultants: promise 'AI will revolutionize everything,' only have theory slides, push expensive enterprise tools, and ignore existing processes.